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High-Order Neural-Network-Based Multi-Model Nonlinear Adaptive Decoupling Control for Microclimate E...

High-Order Neural-Network-Based Multi-Model Nonlinear Adaptive Decoupling Control for Microclimate E...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c1764f863e714ba9ad390d7a5f2202fb

High-Order Neural-Network-Based Multi-Model Nonlinear Adaptive Decoupling Control for Microclimate Environment of Plant Factory

About this item

Full title

High-Order Neural-Network-Based Multi-Model Nonlinear Adaptive Decoupling Control for Microclimate Environment of Plant Factory

Publisher

Basel: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2023-10, Vol.23 (19), p.8323

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Plant factory is an important field of practice in smart agriculture which uses highly sophisticated equipment for precision regulation of the environment to ensure crop growth and development efficiently. Environmental factors, such as temperature and humidity, significantly impact crop production in a plant factory. Given the inherent complexitie...

Alternative Titles

Full title

High-Order Neural-Network-Based Multi-Model Nonlinear Adaptive Decoupling Control for Microclimate Environment of Plant Factory

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_c1764f863e714ba9ad390d7a5f2202fb

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c1764f863e714ba9ad390d7a5f2202fb

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s23198323

How to access this item